Adaptive push based data collection method for online performance monitoring

B. Durai, T. Gonsalves, K. Sivalingam
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引用次数: 3

Abstract

In telecommunication network management systems, pull and push are the conventional methods for data collection. The manager (also called client) entity manages a large number of network elements (NE, also called server) that send monitoring data to the manager. The pull approach does not depend on data changes and is not efficient. The push approach serves the data strictly based on the data changes and is hence more efficient. However, the push approach does not consider the manager's capabilities; hence, the efforts spent on serving the data will be wasted when the manager is unable or unwilling to process the data. Ideally, data collection should be done based on the manager's capabilities, load and other service level criteria. In this paper, we present an adaptive push technique that combines the best of push's advantages while providing the manager with control over demand in data. This approach is compared with pull and push techniques in terms of metrics such as benefit, cost and optimum.
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基于自适应推送的在线性能监测数据采集方法
在电信网络管理系统中,pull和push是常用的数据采集方法。管理器(也称为客户端)实体管理大量向管理器发送监控数据的网元(也称为服务器)。拉式方法不依赖于数据变化,效率不高。推送方法严格地基于数据更改来提供数据,因此效率更高。然而,推式方法并没有考虑管理者的能力;因此,当管理人员无法或不愿处理数据时,用于服务数据的努力将被浪费。理想情况下,应该根据管理人员的能力、负载和其他服务级别标准来收集数据。在本文中,我们提出了一种自适应推送技术,它结合了推送的优点,同时为管理者提供了对数据需求的控制。在效益、成本和最优等指标方面,将这种方法与拉推技术进行比较。
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